# Aider chat conversation:
USER: in each graph, give each model a second bar showing row.percent_cases_well_formed
ASSISTANT: Here are the changes to add a second bar for `row.percent_cases_well_formed` to each graph:
docs/leaderboards/index.md
```markdown
<<<<<<< SEARCH
var leaderboardData = {
labels: [],
datasets: [{
label: 'Percent correct on code editing tasks',
data: [],
backgroundColor: 'rgba(54, 162, 235, 0.2)',
borderColor: 'rgba(54, 162, 235, 1)',
borderWidth: 1
}]
};
{% for row in edit_sorted %}
leaderboardData.labels.push('{{ row.model }}');
leaderboardData.datasets[0].data.push({{ row.pass_rate_2 }});
{% endfor %}
=======
var leaderboardData = {
labels: [],
datasets: [{
label: 'Percent correct on code editing tasks',
data: [],
backgroundColor: 'rgba(54, 162, 235, 0.2)',
borderColor: 'rgba(54, 162, 235, 1)',
borderWidth: 1
},
{
label: 'Percent cases well formed',
data: [],
backgroundColor: 'rgba(255, 99, 132, 0.2)',
borderColor: 'rgba(255, 99, 132, 1)',
borderWidth: 1
}]
};
{% for row in edit_sorted %}
leaderboardData.labels.push('{{ row.model }}');
leaderboardData.datasets[0].data.push({{ row.pass_rate_2 }});
leaderboardData.datasets[1].data.push({{ row.percent_cases_well_formed }});
{% endfor %}
>>>>>>> REPLACE
```
docs/leaderboards/index.md
```markdown
<<<<<<< SEARCH
var leaderboardData = {
labels: [],
datasets: [{
label: 'Percent correct on code refactoring tasks',
data: [],
backgroundColor: 'rgba(54, 162, 235, 0.2)',
borderColor: 'rgba(54, 162, 235, 1)',
borderWidth: 1
}]
};
{% for row in refac_sorted %}
leaderboardData.labels.push('{{ row.model }}');
leaderboardData.datasets[0].data.push({{ row.pass_rate_1 }});
{% endfor %}
=======
var leaderboardData = {
labels: [],
datasets: [{
label: 'Percent correct on code refactoring tasks',
data: [],
backgroundColor: 'rgba(54, 162, 235, 0.2)',
borderColor: 'rgba(54, 162, 235, 1)',
borderWidth: 1
},
{
label: 'Percent cases well formed',
data: [],
backgroundColor: 'rgba(255, 99, 132, 0.2)',
borderColor: 'rgba(255, 99, 132, 1)',
borderWidth: 1
}]
};
{% for row in refac_sorted %}
leaderboardData.labels.push('{{ row.model }}');
leaderboardData.datasets[0].data.push({{ row.pass_rate_1 }});
leaderboardData.datasets[1].data.push({{ row.percent_cases_well_formed }});
{% endfor %}
>>>>>>> REPLACE
```
This adds a second dataset to each chart's `leaderboardData`, with a label of "Percent cases well formed". It sets different colors for the bars and borders.
Then in the loop that populates the data, it pushes the `row.percent_cases_well_formed` value into the second dataset.
With these changes, each model will have two bars - one for the pass rate and one for the percent of cases that were well formed.
# Aider chat conversation:
USER: add a tqdm to `summarize_chat_history_markdown` loop
ASSISTANT: ```diff
--- aider/history.py
+++ aider/history.py
@@ ... @@
from aider.sendchat import simple_send_with_retries
+from tqdm import tqdm
class ChatSummary:
def __init__(self, model=None, max_tokens=1024):
@@ ... @@
def summarize_chat_history_markdown(self, text):
messages = []
assistant = []
+ lines = text.splitlines(keepends=True)
+ for line in tqdm(lines, desc="Summarizing chat history"):
- for line in text.splitlines(keepends=True):
if line.startswith("# "):
continue
if line.startswith(">"):
continue
if line.startswith("#### /"):
continue
if line.startswith("#### "):
if assistant:
assistant = "".join(assistant)
if assistant.strip():
messages.append(dict(role="assistant", content=assistant))
assistant = []
content = line[5:]
if content.strip() and content.strip() != "<blank>":
messages.append(dict(role="user", content=line[5:]))
continue
assistant.append(line)
summary = self.summarize(messages[-40:])
return summary
```
This diff adds the `tqdm` progress bar to the `summarize_chat_history_markdown` method in the `aider/history.py` file. It wraps the loop that processes the chat history lines with `tqdm`, providing a description for the progress bar.
# Aider chat conversation:
USER: add a --max-chat-history-tokens switch, pass it into Coder to `ChatSummary`
ASSISTANT: Here are the changes to add a --max-chat-history-tokens switch and pass it to ChatSummary in Coder:
aider/args.py
```python
<<<<<<< SEARCH
parser.add_argument(
"--map-tokens",
type=int,
default=1024,
help="Number of tokens to use for the repo map. Set to 0 to disable.",
)
=======
parser.add_argument(
"--map-tokens",
type=int,
default=1024,
help="Number of tokens to use for the repo map. Set to 0 to disable.",
)
parser.add_argument(
"--max-chat-history-tokens",
type=int,
default=None,
help="Maximum number of tokens to use for chat history. If not specified, uses the model's max_chat_history_tokens.",
)
>>>>>>> REPLACE
```
aider/coders/base_coder.py
```python
<<<<<<< SEARCH
self.summarizer = ChatSummary(
self.main_model.weak_model,
self.main_model.max_chat_history_tokens,
)
=======
max_chat_history_tokens = self.main_model.max_chat_history_tokens
if kwargs.get("max_chat_history_tokens") is not None:
max_chat_history_tokens = kwargs["max_chat_history_tokens"]
self.summarizer = ChatSummary(
self.main_model.weak_model,
max_chat_history_tokens,
)
>>>>>>> REPLACE
```
aider/main.py
```python
<<<<<<< SEARCH
map_tokens=args.map_tokens,
=======
map_tokens=args.map_tokens,
max_chat_history_tokens=args.max_chat_history_tokens,
>>>>>>> REPLACE
```
This adds the new command line argument `--max-chat-history-tokens` which defaults to None. If not specified, it will use the model's default `max_chat_history_tokens`.
It passes this argument from `main()` into the `Coder` constructor.
In the `Coder` constructor, it checks if `max_chat_history_tokens` was provided in the `kwargs`. If so, it uses that value, otherwise it falls back to the model's default.
Let me know if you have any other questions!
ASSISTANT: Here are the changes to add a --max-chat-history-tokens switch and pass it to ChatSummary in Coder:
aider/args.py
```python
<<<<<<< SEARCH
parser.add_argument(
"--map-tokens",
type=int,
default=1024,
help="Number of tokens to use for the repo map. Set to 0 to disable.",
)
=======
parser.add_argument(
"--map-tokens",
type=int,
default=1024,
help="Number of tokens to use for the repo map. Set to 0 to disable.",
)
parser.add_argument(
"--max-chat-history-tokens",
type=int,
default=None,
help="Maximum number of tokens to use for chat history. If not specified, uses the model's max_chat_history_tokens.",
)
>>>>>>> REPLACE
```
aider/coders/base_coder.py
```python
<<<<<<< SEARCH
self.summarizer = ChatSummary(
self.main_model.weak_model,
self.main_model.max_chat_history_tokens,
)
=======
max_chat_history_tokens = self.main_model.max_chat_history_tokens
if kwargs.get("max_chat_history_tokens") is not None:
max_chat_history_tokens = kwargs["max_chat_history_tokens"]
self.summarizer = ChatSummary(
self.main_model.weak_model,
max_chat_history_tokens,
)
>>>>>>> REPLACE
```
aider/main.py
```python
<<<<<<< SEARCH
map_tokens=args.map_tokens,
=======
map_tokens=args.map_tokens,
max_chat_history_tokens=args.max_chat_history_tokens,
>>>>>>> REPLACE
```
This adds the new command line argument `--max-chat-history-tokens` which defaults to None. If not specified, it will use the model's default `max_chat_history_tokens`.
It passes this argument from `main()` into the `Coder` constructor.
In the `Coder` constructor, it checks if `max_chat_history_tokens` was provided in the `kwargs`. If so, it uses that value, otherwise it falls back to the model's default.
Let me know if you have any other questions!
USER: InvalidEditBlock: edit failed!
aider/args.py does not contain the *exact chunk* of SEARCH lines you specified.
Try again.
DO NOT skip blank lines, comments, docstrings, etc!
The SEARCH block needs to be EXACTLY the same as the lines in aider/args.py with nothing missing!
aider/args.py does not contain these 6 exact lines in a row:
```
parser.add_argument(
"--map-tokens",
type=int,
default=1024,
help="Number of tokens to use for the repo map. Set to 0 to disable.",
)
```
ASSISTANT: I apologize for the mistake. Here is the corrected change for aider/args.py:
aider/args.py
```python
<<<<<<< SEARCH
group.add_argument(
"--map-tokens",
type=int,
default=1024,
help="Max number of tokens to use for repo map, use 0 to disable (default: 1024)",
)
=======
group.add_argument(
"--map-tokens",
type=int,
default=1024,
help="Max number of tokens to use for repo map, use 0 to disable (default: 1024)",
)
group.add_argument(
"--max-chat-history-tokens",
type=int,
default=None,
help="Maximum number of tokens to use for chat history. If not specified, uses the model's max_chat_history_tokens.",
)
>>>>>>> REPLACE
```
# Aider chat conversation:
USER: ReferenceError: Can't find variable: Chart
ASSISTANT: The error message "ReferenceError: Can't find variable: Chart" suggests that the Chart.js library is not being loaded before the script that is trying to use it. To fix this, we need to ensure that the Chart.js library is included in the HTML document before the script that initializes the chart.
Here is the diff to add the Chart.js library to the `docs/leaderboard.md` file:
```diff
--- docs/leaderboard.md
+++ docs/leaderboard.md
@@ ... @@
<canvas id="leaderboardChart" width="800" height="450"></canvas>
+<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<script>
document.addEventListener('DOMContentLoaded', function () {
var ctx = document.getElementById('leaderboardChart').getContext('2d');
var leaderboardData = {
labels: [],
datasets: [{
label: 'Percent correct',
data: [],
backgroundColor: 'rgba(54, 162, 235, 0.2)',
borderColor: 'rgba(54, 162, 235, 1)',
borderWidth: 1
}]
};
@@ ... @@
```
This diff adds the Chart.js library from a CDN before the script tag that contains the chart initialization code. This should resolve the `ReferenceError` by ensuring that the `Chart` variable is defined when the script runs.
# Aider chat conversation:
USER: use chart.js to fill draw a bar graph in the canvas. is liquid templating to pull the "model" as bar label and "second" as bar height
ASSISTANT: ```diff
--- docs/leaderboard.md
+++ docs/leaderboard.md
@@ ... @@
-<canvas id="leaderboardChart" width="800" height="450"></canvas>
+<canvas id="leaderboardChart" width="800" height="450"></canvas>
+<script>
+ document.addEventListener('DOMContentLoaded', function () {
+ var ctx = document.getElementById('leaderboardChart').getContext('2d');
+ var leaderboardData = {
+ labels: [],
+ datasets: [{
+ label: 'Percent correct',
+ data: [],
+ backgroundColor: 'rgba(54, 162, 235, 0.2)',
+ borderColor: 'rgba(54, 162, 235, 1)',
+ borderWidth: 1
+ }]
+ };
+
+ {% for row in site.data.leaderboard | sort: 'second' | reverse %}
+ leaderboardData.labels.push('{{ row.model }}');
+ leaderboardData.datasets[0].data.push({{ row.second }});
+ {% endfor %}
+
+ var leaderboardChart = new Chart(ctx, {
+ type: 'bar',
+ data: leaderboardData,
+ options: {
+ scales: {
+ yAxes: [{
+ ticks: {
+ beginAtZero: true
+ }
+ }]
+ }
+ }
+ });
+ });
+</script>
```
This diff adds a script tag to the `docs/leaderboard.md` file that uses Chart.js to draw a bar graph on the canvas element with the id `leaderboardChart`. The script waits for the DOM to be fully loaded before executing. It then initializes the chart with the model names as labels and the corresponding percentages as the bar heights, using Liquid templating to pull the data from the site's data files.
